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6343b0db47
* Add notes for tensors * Optimize some apis * move some warnings * Support build with Paddle2ONNX * Add protobuf support * Fix compile on mac * add clearn package script * Add paddle2onnx code * remove submodule * Add onnx ocde * remove softlink * add onnx code * fix error * Add cmake file * fix patchelf * update paddle2onnx * Delete .gitmodules --------- Co-authored-by: PaddleCI <paddle_ci@example.com> Co-authored-by: pangyoki <pangyoki@126.com> Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
51 lines
1.9 KiB
C++
Executable File
51 lines
1.9 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle2onnx/mapper/tensor/p_norm.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(p_norm, PNormMapper)
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void PNormMapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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std::string pnode =
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helper_->Constant({1}, GetOnnxDtype(input_info[0].dtype), porder_);
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auto abs_node = helper_->MakeNode("Abs", {input_info[0].name});
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auto pow_node = helper_->MakeNode("Pow", {abs_node->output(0), pnode});
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std::string reducesum_node = "";
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std::vector<int64_t> axes_val = {axis_};
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if (helper_->GetOpsetVersion() < 13) {
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auto node = helper_->MakeNode("ReduceSum", {pow_node->output(0)});
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AddAttribute(node, "axes", axes_val);
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AddAttribute(node, "keepdims", static_cast<int64_t>(keepdim_));
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reducesum_node = node->output(0);
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} else {
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std::string axes_node =
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helper_->Constant(GetOnnxDtype(P2ODataType::INT64), axes_val);
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auto node =
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helper_->MakeNode("ReduceSum", {pow_node->output(0), axes_node});
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AddAttribute(node, "keepdims", static_cast<int64_t>(keepdim_));
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reducesum_node = node->output(0);
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}
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std::string pnode1 =
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helper_->Constant({1}, GetOnnxDtype(input_info[0].dtype), 1.0 / porder_);
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helper_->MakeNode("Pow", {reducesum_node, pnode1}, {output_info[0].name});
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}
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} // namespace paddle2onnx
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